Our Mission at Scythe
Humanity has lost touch with nature - we’ve traded dirt and trees for asphalt, and we rely on loud, polluting, gas-powered machines to care for our limited natural spaces.
Scythe is forging a new future by building intelligent, all-electric machines that unlock a new superpower: the ability to care for the outdoors pollution-free at enormous scale. From today’s first steps in landscape maintenance to full-fledged re-terraforming in the future, Scythe is pioneering autonomous machinery that supports the ingenuity of humans, multiplying our power to nurture our planet.
At Scythe, you’ll work with a team of world-class experts in everything from computer vision to mechanical engineering, pushing the limits of possibility and growing by overcoming hurdles along the way.
The world needs what we’re building—come join us in making it a reality.
Computer Vision Engineer at Scythe
We are seeking a highly skilled Software Engineer with strong foundation in traditional image processing techniques, sensor fusion, and integrating machine learning solutions. As part of the Perception team, you will assist in building out the future of off-road, real-time robot perception. The ideal candidate will have strong programming proficiency in languages such as C++ and Python. Experience with Rust and familiarity with Neural Networks is a plus.
This role is critical to Scythe, as it enables our autonomous mower, M.52, to operate in ever-expanding environments and provide a reliable operational experience to our customers. We expect you to be broadly experienced, to be able to “see around corners”, to thrive in a fast-paced, self-managed engineering environment, and to be a collaborative, low-ego teammate who helps Scythe realize its big mission.
What you’ll do at Scythe
- Optimize algorithms for computational efficiency and scalability in real-time or resource-constrained environments.
- Implement efficient data extraction and processing pipelines to support machine learning workflows, ensuring data quality and accuracy.
- Create and enhance testing frameworks for evaluating our Perception pipeline.
- Maintain comprehensive documentation for SW and processes to ensure clarity and facilitate knowledge sharing.
- Stay updated with the latest advancements in computer vision, machine learning, data platforms, and programming languages to incorporate new technologies and methodologies.
What you know well
- Mathematical concepts relevant to the tasks of visual-inertial odometry, sensor fusion, and 3D reconstruction: linear algebra, matrix math, non-linear optimization, uncertainty propagation, rotation parameterizations, isometries, etc.
- Proficiency in compiled programming languages such as C++, Rust, or Go We use Rust for most of our codebase, so you must be open to learning it and adopting it for everyday use
- Kalman filter and nonlinear variants (EKF, ) and bundle adjustment
- GNSS+IMU sensor fusion for localization
- Vision-based localization (camera models, visual odometry, SLAM)
- Worked with robots or other resource-constrained platforms
- Experience working with camera, lidar, and radar data in a robotics application
- Experience with machine learning libraries and frameworks such as Pytorch
- Experience working with vision-based machine learning models
- CUDA development to parallelize algorithms
Why Scythe?
- Scythe is an early-stage but well-capitalized startup. Have a huge impact alongside an awesome team of experts shipping something the world has never before seen
- Competitive salary and equity compensation
- Fully-sponsored medical, vision, and dental insurance, including 75% funded dependent coverage
- 401(k) retirement plan (non-matching today)
- Headquarters in beautiful Longmont, CO (near Boulder, CO.) Enjoy the bounties of nature and open spaces close to home with mountain biking, hiking, skiing and more.
- Satellite offices in Austin, TX and Fort Pierce, FL
- Flexible paid time-off and remote work to let you do your best work where and when you want
- Highly collaborative learning culture where personal freedom, growth, and responsibility are valued
- An opportunity to have an incredible positive impact on the world
Closing
Scythe is a total compensation company, which provides employees a comprehensive salary, equity, and benefit package. However, only the minimum salary amounts are listed here. Scythe carefully considers a wide range of compensation factors, including education, years of experience, competencies and other relevant business considerations. These considerations can cause your compensation to vary along with your compensation mode preferences. The Software Engineer II, Computer Vision position has an expected minimum annual cash salary of $120,000. The actual pay may be higher depending on your skills, qualifications, and experience. Equity and benefits packages are NOT included in this estimate. Please note that this information is provided for those hired in Colorado only, and this role is open to candidates outside of Colorado as well.
Scythe is an Equal Opportunity employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, national origin, sex, sexual orientation, gender identity, disability, protected veteran status or any other factor protected by applicable local, state or federal laws.
